Senior Machine Learning Engineer

Essential functions

• Design and implement the RAG process, create and train Agents; participate in foundation model training and fine-tuning

• Develop pipelines for data manipulation, LLM verification, and evaluation

• Design and implement APIs for communication between different application services (data retrieval, evaluation, 3rd party applications for CNC/g-code generation)

• Troubleshoot and resolve issues related to Python code, APIs, libraries, and web applications (DB connectivity, authentication, etc.)

• Use Docker to build images and manage containers

• Collaborate with cross-functional teams to integrate ML solutions

• Document technical designs and maintain engineering standards

Qualifications

• Deep hands-on expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systems

• Expert-level Python programming skills with focus on working with CAD libraries (e.g., pythonOCC), and building APIs (REST, FastAPI)

• Expert-level debugging and troubleshooting skills for Python, APIs, and web applications

• Competent SQL skills and experience with databases such as MySQL, PostgreSQL

• Competent knowledge of big data processing frameworks (Apache Spark, Kafka, or Dask)

• Basic understanding of distributed computing and storage systems principles

• Competent knowledge and hands-on experience with Docker and Kubernetes (containerization, deployment, scaling, operation)

• Experience using AWS for ML training

• Experience with CI/CD tools (Jenkins, GitHub Actions, or Rio)

• MS/PhD in Computer Science, Machine Learning, or related field preferred

Would be a plus

• Clear, well-structured communication

• Attention to details

• Ability to drive complex tasks from requirements, design

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.